Enhance the Performance of Expectation Propagation Detection in Spatially Correlated Massive MIMO Channels via DFT Precoding

TL;DR

This paper proposes using DFT precoding to improve the performance of EP detection in massive MIMO systems with correlated antennas.

Contribution

A novel DFT precoding method is introduced to reduce transmit antenna correlation in EP detection for massive MIMO.

Findings

DFT precoding significantly accelerates the convergence of the EP algorithm.

The method reduces detection error rates in high-order, high-dimensional MIMO systems with strong antenna correlation.

Abstract

Expectation Propagation (EP) has emerged as a promising detection algorithm for large-scale multiple-input multiple-output (MIMO) systems owing to its excellent performance and practical complexity. However, transmit antenna correlation significantly degrades the performance of EP detection, especially when the number of transmit and receive antennas is equal and high-order modulation is adopted. Based on the fact that the eigenvector matrix of the channel transmit correlation matrix approaches asymptotically to a discrete Fourier transform (DFT) matrix, a DFT precoder is proposed to effectively eliminate transmit antenna correlation. Simulation results demonstrate that for high-order, high-dimensional massive MIMO systems with strong transmit antenna correlation, employing the proposed DFT precoding can significantly accelerate the convergence of the EP algorithm and reduce the detection error rate.

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